DOI: 10.1007/s00382-017-3769-8
Scopus记录号: 2-s2.0-85021244770
论文题名: A new index for identifying different types of El Niño Modoki events
作者: Wang X. ; Tan W. ; Wang C.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 50, 期: 2018-07-08 起始页码: 2753
结束页码: 2765
语种: 英语
英文关键词: Climate impacts
; El Niño Modoki
; ENSO
Scopus关键词: air-sea interaction
; climate effect
; El Nino
; El Nino-Southern Oscillation
; Indian Ocean Dipole
; multivariate analysis
; numerical model
; rainfall
; temporal variation
; China
; Indian Ocean
英文摘要: El Niño Modoki events can be further classified into El Niño Modoki I and II in terms of their opposite impacts on southern China rainfall (Wang and Wang, J Clim 26:1322–1338, 2013) and the Indian Ocean dipole mode (Wang and Wang, Clim Dyn 42:991–1005, 2014). The present paper develops an index to identify the types of El Niño events. The El Niño Modoki II (MII) index is defined as the leading principle component of multivariate empirical orthogonal function analysis of the normalized El Niño Modoki index, Niño4 index and 850 hPa relative vorticity anomalies averaged near the Philippine Sea during autumn. The MII index exhibits dominant variations on interannual (2–3 and 4–5 years) and decadal (10–20 years) timescales. El Niño Modoki II events can be well identified by using the MII index value being larger than 1 standard deviation. Further analyses and numerical model experiments confirm that the MII index can portray the major oceanic and atmospheric features of El Niño Modoki II events. The constructed MII index along with previous ENSO indices can be used for classifying and identifying all types of El Niño events. Because of distinct impacts induced by different types of El Niño events, the implication of the present study is that climate prediction and future climate projection under global warming can be improved by using the MII index and other indices to identify the types of El Niño events. © 2017, Springer-Verlag GmbH Germany. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109346
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, 164 West Xingang Road, Guangzhou, 510301, China; Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; First Institute of Oceanography, State Oceanic Administration, Qingdao, 266061, China
Recommended Citation:
Wang X.,Tan W.,Wang C.. A new index for identifying different types of El Niño Modoki events[J]. Climate Dynamics,2018-01-01,50(2018-07-08)